A Brief OverviewThe US LBM Domain Architect plays a critical role in translating enterprise architecture strategy into practical, scalable technology solutions within a defined business domain (e.g., Customer, Commerce, Supply Chain, Manufacturing, Data, or Integration). This person is responsible for defining and governing domain-level architecture, ensuring alignment with enterprise standards, and partnering closely with engineering, product, and platform teams to drive successful solution delivery. This role bridges enterprise architecture vision and delivery execution, ensuring that solutions across the domain are scalable, secure, resilient, and aligned with long-term strategy.
What you will do- Domain Architecture Leadership - Own the architecture strategy and roadmap for a defined domain. Translate enterprise architecture principles into domain patterns. Define applications, services, data flows, and integrations.
- Solution Design & Governance - Lead architecture reviews and design sessions. Ensure alignment with standards, security, and scalability. Govern architectural consistency across the domain.
- Cross-Team Collaboration - Partner with engineering, product, platform, and data teams. Act as bridge between enterprise architecture and delivery.
- Architecture Standards & Patterns - Develop reference architectures and reusable patterns. Promote platform-first and event-driven approaches.
- Technology Evaluation - Evaluate new technologies and platforms. Support build vs buy decisions and vendor selection.
- Domain Roadmap Alignment - Maintain multi-year roadmap aligned to enterprise strategy.
Required For All Jobs- Perform other duties as assigned.
- Comply with all policies and standards.
- Adhere to Company's commitment to workplace safety.
- Participate in and complete assigned trainings.
Education Qualifications- Bachelor's Degree or equivalent experience preferred.
Experience Qualifications- 5+ years in software engineering or architecture
- Experience with microservices, APIs, event-driven systems
- Extensive understanding in using AI first development and research
- Strong understanding of application, data, and cloud architecture
Skills and Abilities- Cloud platforms (Azure, AWS, GCP)
- Containers and Kubernetes
- API platforms and messaging systems (Kafka, event streaming)
- Modern data architectures
- Security and identity frameworks
- Strong communication and stakeholder engagement
- Ability to translate technical concepts into business value
- Influence without authority
- Strategic and execution-oriented mindset
- Mentorship capability
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